Twitter Usage Patterns as a Predictor of User Gender

 Abstract

Thanks to the spur of online social networks, users have invented ways of expressing themselves. Though unintended, content posted and their usage patterns, quite often than not, convey pertinent information about social identities and personality traits. Mapping intentions and motivations of Twitter users by studying the content posted by them on the popular microblogging website, the present study aims to build are liable prediction model for gender. Apart from studying the extent and frequency of usage, a qualitative analysis of tweets was performed to identify usage patterns and able predictors. For the study, Twitter users were chosen and their usage patterns were analysed to spot similarities and differences. Results indicated distinct differences between male and female users with regard to topics discussed and motivations.

REFERENCES

Nair, Parvathy S. and Francis P. Barclay. (2017). Twitter Usage Patterns as a Predictor of User Gender. Journal of Media and Communication, 1(2):1-23. CUTN